Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2020 Aug 1.
Published in final edited form as: J Cancer Surviv. 2019 Jun 26;13(4):570–579. doi: 10.1007/s11764-019-00776-8

Neurocognitive outcomes in long-term survivors of Wilms tumor: A report from the St. Jude Lifetime Cohort

Ingrid Tonning Olsson 1, Tara M Brinkman 1,2, Geehong Hyun 1, Pia Banerjee 1, Daniel A Mulrooney 1,3, I-Chan Huang 1, Daniel M Green 1,3, Deokumar Srivastava 4, Leslie L Robison 1, Melissa M Hudson 1,3, Kevin R Krull 1,2
PMCID: PMC6679797  NIHMSID: NIHMS1042310  PMID: 31243647

Abstract

Purpose:

To examine prevalence and predictors of neurocognitive outcomes, social attainment, emotional distress and health-related quality of life (HRQOL) in long-term survivors of pediatric Wilms tumor (WT).

Methods:

158 WT-survivors (59% female; mean[SD] age 33[9.1] years; time since diagnosis 29[9.1] years) and 354 community controls (55.6% female; 35[10.2] years) completed comprehensive neuropsychological testing and physical examination, including echocardiography/electrocardiography, pulmonary function tests and endocrine evaluation. Self-report of emotional distress, HRQOL and social attainment were collected. Impairment was defined in relation to both controls and normative data. Generalized linear models were developed to examine impact of treatment and chronic health conditions on outcomes.

Results:

WT-survivors performed poorer than norms and controls in 6 of 16 cognitive variables and 1 of 8 HRQOL variables, with scores ranging from −0.64 (mathematics) to −0.21 (verbal fluency) standard deviations below expectations. Compared to controls, WT-survivors were less likely to graduate college (Odds Ratio 2.23, 95% Confidence Interval 1.46–3.41) and had more moderate to severe neurologic conditions (18.4% v 8.2%, p<0.001), which were associated with poor memory (β=−0.90, p<0.001), attention (β=−1.02, p<0.001), and HRQOL general health (β=−.80, p=0.0015). Treatment variables and cardiopulmonary morbidity (higher in survivors) were not associated with outcomes.

Conclusions:

Survivors of WT demonstrate impairment in neurocognitive function and have lower social attainment during adulthood, with poorer neurocognitive function associated with neurologic morbidity.

Keywords: Pediatric Wilms tumor, neurocognition, social attainment, health-related quality of life, emotional distress

Introduction

Survival rates for childhood cancer have increased dramatically during the last 50 years, with 83% currently surviving at least 5 years [1]. The majority of long-term survivors experience late sequelae, including physical, neurocognitive and/or psychosocial morbidity [24]. Neurocognitive sequelae have mostly been studied in survivors of brain tumors and acute lymphoblastic leukemia [57], for whom CNS-directed therapies are used (e.g. cranial radiation therapy and/or intrathecal/high dose intravenous methotrexate). However, recent literature demonstrates long-term survivors also experience neurocognitive problems due to chronic health conditions that develop in response to cancer therapy (e.g. cardiopulmonary morbidity) [8, 9]. Also, there is emerging evidence that non-CNS-directed chemotherapy might affect the brain through endocrine changes or immune dysregulation [10].

Wilms tumor (WT) is a kidney tumor with an annual incidence rate of 9 per million population under the age of 15 years [1]. Median age of diagnosis is 3–4 years and five-year survival rates are 91%. Genetic anomalies and syndromes are relatively common in WT patients, affecting 9–17% [11]. Historically, treatment for WT included surgery and chemotherapy in most cases together with abdominal radiation in more than half of the patients [12]. By 50 years of age, long-term survivors of WT have, on average, 14 chronic health conditions, including four that are serious/disabling, life-threatening or fatal [12]. In two reports from the Childhood Cancer Survivor Study, Termuhlen et al. [13] found 65% of WT survivors to have a least one chronic health condition, including cardiopulmonary and renal problems, and Mostoufi-Moab et al. [14] reported 29% to have endocrinopathies. However, very few studies have examined neurocognitive outcomes in long-term WT survivors, with those available studies including very small samples with short follow-up (less than 10 years post diagnosis) [1518]. Two studies with longer follow-up time (10 and 21 years post diagnosis respectively) found lower neurocognitive abilities; Mulhern et al. [19] reported that a group (n=26) of WT survivors scored 0.5–1.0 standard deviations below population means on verbal memory tests and Mackie et al. [20] found survivors of WT to have poorer functioning in social skills and coping ability compared to healthy controls. Assessment of academic outcomes among WT survivors have provided inconsistent results [2125]. Poor emotional and physical health in survivors of WT have also been reported, especially in survivors receiving pelvic radiation [13, 26], which might cause poorer neurocognitive long-term outcome since cardiopulmonary, renal and endocrine deficits have been shown to be associated with cognitive impairment in non-cancer patients [2729].

To address the gaps in knowledge regarding neurocognitive outcomes among long-term survivors of WT, and to investigate potential association with cardiopulmonary, renal and/or endocrine morbidity, we undertook direct neurocognitive testing in a large cohort of well characterized adult survivors of WT. The aims of this study were to evaluate neurocognitive function, health-related quality of life (HRQOL), emotional distress, and social attainment in adult survivors of WT and to identify demographic and treatment-related predictors of outcomes.

Methods

Participants

This current analysis utilizes participants in the St Jude Lifetime Cohort study (SJLIFE), a retrospective cohort with prospective longitudinal clinical assessment of five-year survivors treated for childhood cancer at St Jude Children’s Research Hospital [30, 31]. Survivors are followed prospectively with medical, psychosocial and neurocognitive evaluations. Neurocognitive testing was risk-based when the study started in 2007, but since April 2012 all survivors were recruited for neurocognitive testing, i.e. survivors visiting campus before April 2012 were considered non-eligible for the present study (n=48). Survivors more than 10 years from diagnosis were included in the current analysis. A total of 236 WT survivors were eligible for the present study of whom 158 (67%) had been assessed for neurocognitive outcomes (Fig 1). A control group of 354 individuals without a history of childhood cancer, recruited from the community and from friends and non-first-degree relatives of St Jude patients, was included. Exclusion criteria for both the survivors and the control group were pre-existing non-cancer-related genetic or neurodevelopmental disorder associated with neurocognitive impairment, brain injury unrelated to cancer, non-proficiency in English, low birth weight <750g, and CNS involvement (WT survivors). Seven survivors (four with pre-existing conditions, one with severe prematurity and two with CNS involvement) and 14 controls were considered non-eligible due to those criteria.

Figure 1.

Figure 1.

CONSORT diagram survivors

Measures

The neurocognitive tests covered six domains: intellectual function, academics, attention, processing speed, memory and executive function (Supplemental Table S1). Analyses included subtests from the Wechsler Abbreviated Scale of Intelligence [32], Woodcock Johnson Tests of Achievement III NU [33], Conners’ Continuous Performance Test II [34], California Verbal Learning Test – 2nd edition [35], Trail Making Test [36], Test of Memory and Learning II) [37], and Controlled Oral Word Association Test [38]. Testing was conducted by certified neuropsychological examiners under the supervision of a board-certified neuropsychologist, according to a structured protocol designed to reduce distractions and fatigue.

Assessment of HRQOL and emotional distress was obtained using the 36-item Short Form survey (SF-36) [39], and the Brief Symptom Inventory 18 (BSI-18) [40], respectively. The SF-36 includes eight indices (physical functioning, role limitations due to physical problems, bodily pain, general health, vitality, social functioning, role limitation due to emotional problems, and mental health), which combine into two global scales (physical component summary and mental component summary). The BSI-18 provides subscales for anxiety, depression, and somatization as well as an overall global severity index.

Classification and severity grading of chronic conditions utilized medical records, health questionnaires, physical examinations, and laboratory-based clinical tests [31]. The following social attainment measures were obtained using questionnaires: education (college graduate or higher vs <college graduate), employment (full time employment/student/caring for home vs no or part-time employment), marriage (never vs ever married), household income (<$40 000 vs ≥$40 000), independent living (yes/no), driver’s license (yes/no) and health insurance (yes/no).

Statistical analysis

Measures of neurocognitive ability, HRQOL and emotional distress were converted to z-scores using standardized national norms. For neurocognitive function and HRQOL higher scores indicate better outcome, while for emotional distress, higher scores indicate worse outcome. Demographics of the survivor and the control group were compared using Student’s t-test and χ2-tests, and any significant differences were included as covariates in subsequent analyses between groups. Two-sample T-tests, adjusted for race/ethnicity, were used to compare differences between the study group and the control group for neurocognitive, HRQOL, social attainment and emotional distress outcomes and p-values were adjusted for false discovery rate [41]. To identify clinically relevant impairment, survivors were also compared to population norms using one-sample t-tests. If survivors yielded significantly lower scores compared to both norms and controls on any outcome variable, this variable was included in multivariable generalized linear models. Separate models were built for each outcome, adjusting for sex, race and time since diagnosis.

Results

Characteristics of the study population, including demographic, treatment and chronic health conditions present at the time of neurocognitive assessment are provided in Table 1. A drop-out analysis found no significant differences between participating and non-participating survivors regarding diagnosis, treatment, sex or ethnicity (Supplemental Table S2). Non-participants were slightly older at diagnosis (3.6 years vs 4.6 years, p=0.04). Significant differences between survivors and controls were found for race/ethnicity, with a higher percentage of non-Hispanic whites in the control group. Survivors were diagnosed 1963–2005, with 29 survivors (18.4%) being diagnosed 1975 or earlier. Average age at WT diagnosis was 3.6 years and the majority of survivors underwent unilateral nephrectomy and treatment with vincristine, dactinomycin, and doxorubicin. 68% of survivors received radiation therapy either to the abdomen only (49%) or abdomen and chest (19%). Survivors had significantly more chronic conditions than controls within every organ system, most commonly cardiovascular (40%) and respiratory (39%) conditions. Sixty-one percent had an endocrine condition, mostly overweight/obesity (52%) with only 9% of all survivors had an endocrine condition other than overweight/obesity.

Table 1.

Demographic and treatment characteristics, chronic conditions at assessment

Survivors
N=158
Controls
N=354

M (SD) / N(%) M (SD) / N(%) P

Age at evaluation, years 33 (9.1) 35 (10.2) 0.057
Age at diagnosis, years 3.6 (2.6)
Time since diagnosis, years 29 (9.1)
Sex 0.44
   Male 64 (40.5) 157 (44.4)
   Female 94 (59.5) 197 (55.6)
Race/Ethnicity <.001
   White, non-Hispanic 116 (73.4) 317 (89.6)
   Other 42 (26.6) 37 (10.4)
Radiation
   No radiation treatment 51 (32.3)
   Radiation to the abdomen only 77 (48.7)
   Dose when >0 abdomen, cGy 1960 (1010)
   Dose when >0 chest (scatter), cGy 270 (240)
   Radiation to the abdomen and chest 30 (19.0)
   Dose when >0 abdomen, cGy 1740 (1050)
   Dose when >0 chest, cGy 1870 (1820)
   Other radiation treatment locations 0 (0.0)
Chemotherapy
   Vincristine 155 (98.1)
   Dose when >0, mg/m2 32.4 (14.9)
   Dactinomycin 152 (96.2)
   Dose when >0, mg/m2 7.5 (3.6)
   Doxorubicin 108 (68.4)
   Dose when >0, mg/m2 195.6 (66.6)
   Cyclophosphamide 7 (4.4)
   Etoposide 21 (13.3)
   Carboplatin 14 (8.9)
   Other chemotherapy 19 (12.0)
Surgery
   Unilateral nephrectomy 147 (93.0)
   Partial nephrectomy 1 (0.6)
   Bilateral nephrectomy 2 (1.3)
   Other 8 (5.1)
Chronic conditions, grade 2–4
   Cardiovascular 64 (40.5) 69 (19.5) <.001
   Respiratory 62 (39.2) 39 (11.02) <.001
   Reproductive 48 (30.) 36 (10.2) <.001
   Endocrine (total) 97 (61.4) 169 (47.7) 0.0045
   Endocrine other than overweight/obesity 20 (12.7) 10 (2.8) 0.002
   Renal 18 (11.4) 14 (4.0) <.001
   Musculoskeletal 51 (32.3) 19 (5.4) <.001
   Neurology 29 (18.4) 29 (8.2) <.001

Comparison chronic conditions adjusted for age at assessment and race.

WT survivors had significantly lowered scores, relative to normative data and compared to community controls, in verbal reasoning, word reading, mathematics, sustained attention, long-term verbal memory and verbal fluency, with average z-scores ranging from −0.64 to −0.21 (M=0, SD=1) (Table 2). Regarding HRQOL, survivors had lower scores on subfactor general health only (M=−0.22, SD=1.04). Compared to norms, survivors rated themselves having significantly better HRQOL on most physical subfactors, however most ratings were significantly worse than controls. No differences were found regarding mental HRQOL. Survivors reported more emotional distress compared to controls, but reports were not significantly different from norms except that survivors rated themselves having less anxiety. There were no differences between survivors and controls regarding frequency of full-time employment, marriage, independent living, health insurance and driver’s license status. Survivors did have a lower rate of college graduation and lower income, after adjusting for age at assessment and race.

Table 2.

Neurocognitive, emotional and quality of life measures

Survivors, N= 158 Controls, N= 354
Mean (SD) P
vs norms
Mean (SD) P vs
controls

Intellectual Function
   Verbal reasoning −0.39 (1.14) 0.004 0.18 (0.90) 0.002
   Non-Verbal reasoning 0.013 (1.00) 0.88 0.27 (0.73) 0.045
   Overall reasoning −0.17 (1.02) 0.058 0.27 (0.78) 0.002
Academics
   Reading −0.30 (0.63) 0.004 −0.002 (0.54) 0.002
   Mathematics −0.64 (0.94) 0.004 −0.12 (0.81) 0.002
Attention
   Sustained attention −0.46 (1.37) 0.004 −0.030 (1.10) 0.002
   Focused attention 0.19 (1.17) 0.058 0.58 (0.83) 0.002
Processing speed
   Visuomotor processing speed 0.046 (1.01) 0.64 0.45 (0.94) 0.002
   Cognitive processing speed 0.17 (1.03) 0.076 0.64 (0.91) 0.002
Memory
   Short-term memory −0.10 (0.97) 0.23 0.15 (0.94) 0.063
   Verbal learning −0.015 (1.21) 0.88 0.34 (1.00) 0.045
   Long-term verbal Memory −0.33 (1.31) 0.007 0.10 (1.04) 0.005
   Visual memory −0.19 (1.07) 0.058 −0.065 (0.97) 0.63
Executive function
   Working memory −0.15 (0.81) 0.049 0.019 (0.86) 0.16
   Self-monitoring −0.33 (1.94) 0.058 −0.11 (1.48) 0.20
   Cognitive flexibility −0.28 (1.65) 0.058 0.30 (1.18) 0.002
   Verbal fluency −0.21 (1.09) 0.046 0.079 (1.07) 0.033
Emotional distress BSI
   Somatization 0.16 (0.97) 0.10 −0.33 (0.78) 0.004
   Depression −0.10 (1.01) 0.23 −0.34 (0.80) 0.001
   Anxiety −0.22 (1.07) 0.044 −0.41 (0.88) 0.001
   Global Severity Index −0.11 (1.13) 0.23 −0.48 (0.97) 0.001
Health related quality of life SF36
   Physical function 0.20 (0.83) 0.013 0.39 (0.70) 0.38
   Role limitations due to physical health problems 0.19 (0.91) 0.028 0.44 (0.66) 0.013
   Bodily pain 0.29 (1.00) 0.009 0.42 (0.91) 0.20
   General health −0.22 (1.04) 0.028 0.26 (0.91) 0.009
   Vitality −0.13 (1.08) 0.18 0.16 (0.97) 0.022
   Social functioning −0.14 (1.08) 0.18 0.18 (0.85) 0.010
   Role limitations due to emotional problems −0.005 (1.00) 0.96 0.22 (0.79) 0.19
   Mental health −0.12 (1.14) 0.22 0.072 (0.91) 0.050
   Physical Component Summary scores 0.21 (0.85) 0.013 0.46 (0.77) 0.38
   Mental Component Summary scores −0.20 (1.12) 0.063 0.030 (0.89) 0.010

N % N % P vs
controls

Social attainment
   College graduate or higher 51 34.23 178 54.94 0.001
   Working full/part-time 111 77.08 278 85.28 0.33
   Ever married 105 70.95 271 79.71 0.33
   Household income >=40,000 36 24.66 148 44.05 0.007
   Living independently 93 64.14 260 76.25 0.13
   Health insurance 126 85.71 297 87.35 0.88
   Driver’s license 141 95.27 328 96.18 0.88

One or two-sample T-test, adjusted for race/ethnicity. Social attainment also adjusted for age at assessment. Bold type indicates variables for which survivors performed significantly lower than both normative data and controls. All measures in z-scores: M=0, SD=1. P-values adjusted for false discovery rate.

Multivariable models adjusted for age at diagnosis, race and time since diagnosis demonstrated few associations between treatment variables and cognitive and HRQOL variables (Table 3). Subsequent exploratory analyses showed an association to era of diagnosis, with patients treated earlier (1960–1975) receiving more radiation and higher doses of chemotherapy and also demonstrating better neurocognitive outcome. Being non-Hispanic and white was associated with higher scores on neurocognitive tests, but race/ethnicity was not associated with social attainment or HRQOL.

Table 3.

Multivariable models for associations between cancer treatment, chronic conditions and cognitive and HRQOL outcome

Verbal reasoning Word reading Mathematics Sustained
attention
Long-term
verbal memory
Verbal fluency HRQOL General
health

Est. P-val Est. P-val Est. P-val Est. P-val Est. P-val Est. P-val Est. P-val

Ridge
regression
Dactinomycin 0.001 0.91 0.010 0.056 0.018 0.086 0.013 0.36 0.072 0.014 0.004 0.77 0.058 0.62
Vincristine −0.0001 0.95 0.0003 0.75 −0.001 0.65 −0.001 0.78 −0.010 0.20 0.001 0.81 0.007 0.62
Doxorubicin −0.0002 0.54 −0.0003 0.15 −0.001 0.12 −0.0002 0.76 −0.002 0.11 −0.0004 0.49 −0.0003 0.74
Radiation
   Radiation to abdomen 0.090 0.28 −0.019 0.66 0.14 0.097 −0.13 0.28 0.55 0.0062 0.12 0.30 −0.16 0.45
   Radiation to abdomen and chest 0.021 0.84 0.028 0.62 0.019 0.86 0.20 0.21 0.46 0.070 0.40 0.0073 −0.73 0.004

Chronic conditions
Grade 2–4
Generalized linear
models
Cardiovascular system 0.076 0.70 0.13 0.19 0.014 0.93 0.32 0.19 0.012 0.96 −0.10 0.59 −0.34 0.081
Respiratory system 0.080 0.67 0.054 0.59 0.022 0.89 0.18 0.45 0.23 0.30 0.20 0.28 −0.23 0.22
Reproductive system −0.13 0.52 −0.041 0.70 0.123 0.47 0.15 0.56 −0.051 0.83 −0.17 0.39 −0.46 0.021
Endocrine system −0.34 0.053 −0.11 0.25 −0.26 0.084 0.15 0.52 −0.23 0.27 −0.15 0.39 −0.44 0.012
Renal system 0.45 0.11 0.023 0.88 0.25 0.29 −0.23 0.51 0.28 0.40 0.25 0.37 −0.66 0.016
Musculoskeletal system 0.12 0.54 −0.015 0.88 0.044 0.78 −0.56 0.016 0.083 0.70 −0.061 0.74 −0.21 0.25
Neurology system −0.44 0.052 −0.18 0.15 −0.30 0.11 −0.73 0.010 −0.78 0.0025 −0.27 0.22 −0.80 <0.001
Second neoplasms (Yes) 0.49 0.10 0.24 0.13 0.25 0.33 0.41 0.29 0.22 0.55 0.22 0.46 0.22 0.46

Ridge regression models for treatment variables, generalized linear models for chronic conditions. Separate models for each cognitive outcome variable. Chemotherapy and radiation in the same models, chronic conditions in separate models. Non-standardized estimates. Cognitive measures in z-scores. Chemotherapy per mg/m2. Radiation as compared to no radiation. All models adjusted for sex, race/ethnicity and time since diagnosis. Bold type indicates significant models.

Associations were found between the presence of musculoskeletal conditions and poorer sustained attention and between the presence of neurologic conditions and poorer sustained attention and long-term verbal memory (Table 3). Reduced HRQOL, specifically general health, was associated with several chronic conditions; reproductive, endocrine, and renal as well as neurologic conditions. No associations were found between chronic conditions and social attainment. Further analyses of neurologic conditions showed survivors have a higher prevalence of motor (3.8% vs 0%, p<0.001) and sensory neuropathy (22.8% vs 9.0%, p<0.001) compared to controls (Supplemental Table S3).

Higher scores on measures of verbal reasoning, word reading, and mathematics were associated with higher social attainment and higher scores on measures of verbal memory alone were associated with better HRQOL (Table 4).

Table 4.

Cognitive outcome associated to HRQOL and social attainment

Education
College graduate
or higher
Household
income
SF-36 Social
functioning
SF-36 Mental
health

OR P-val OR P-val Est. P Est. P

Verbal reasoning 2.23 <0.001 1.59 0.029 0.11 0.17 0.12 0.15
Word reading 3.47 0.0025 2.82 0.024 0.11 0.47 0.25 0.12
Mathematics 2.55 <0.001 1.74 0.050 0.098 0.33 0.17 0.11
Sustained attention, CPT variability 1.59 0.0067 1.12 0.51 0.11 0.12 0.10 0.14
Long-term verbal memory CVLT LD 1.35 0.045 1.24 0.23 0.21 0.002 0.27 <0.001
Initiation: verbal fluency FAS 1.289 0.14 1.04 0.86 0.081 0.32 0.13 0.14

Separate models for each cognitive variable and each outcome variable. Generalized linear models for HRQOL outcomes, logistic regression models for social attainment; reference category least favorable outcome (<college graduate, household income <$40000/year). Bold type indicates p<0.05

Discussion

Long-term survivors of WT demonstrate lower neurocognitive function, including verbal reasoning, academics, attention, memory and executive function. Lower performance in these neurocognitive functions is associated with lower social attainment (income and education) and lower social and mental HRQOL. Poor functional outcomes were associated with the presence of current chronic neurological and musculoskeletal conditions, with survivors demonstrating higher frequency of these chronic conditions compared to controls. Survivors did not show elevated levels of emotional distress or mental HRQOL.

This is the largest study of adult survivors of WT using objective neurocognitive testing. Several previous studies have used smaller samples of survivors of Wilms tumors as a control group when studying cognition in survivors treated for acute lymphoblastic leukemia [18, 19]. Most of those studies did not find differences between survivors of WT and controls. However, it is unclear whether a representative sample of WT survivors was included, as the primary emphasis was on leukemia survivors. When impairment was found in previous studies, the findings have been consistent with our results showing problems in memory and academics [19, 20, 25].

Neurocognitive problems in survivors included in the current study were mainly within verbal skills (verbal reasoning, word reading, verbal memory and verbal fluency). Survivors of childhood cancer treated with cranial radiation or intrathecal chemotherapy often demonstrate attention, memory, processing speed and executive function problems, but not purely within the verbal domain [4244]. Survivors’ lower performance in verbal skills might be linked to the consistently young age at diagnosis (median=3.2 years, interquartile range 1.8–4.7 years), an age known for intense verbal development when any negative impact on development could affect those skills. A similar pattern and profile were found in children with early onset diabetes [45, 46].

Survivors had a higher prevalence of chronic conditions, including cardiovascular, respiratory and endocrine conditions, compared to community controls. Contrary to expectation none of these conditions were related to worse neurocognitive function in multivariable models. Neurologic chronic conditions were also more common in survivors than in controls (18% vs 8%), mainly a higher prevalence of peripheral motor and sensory neuropathy, a common side effect to treatment with vincristine [47]. Having a neurologic condition was closely linked to lower scores on neurocognitive tests and HRQOL measures (none of which were strongly motor-based). Peripheral neuropathy is generally considered an adverse effect to chemotherapy, but several recent studies have pointed out that it might be both long-lasting and associated with severe disability and reduction of quality of life [48]. Peripheral neuropathy might, for example impair a person’s ability to dress, to drive a car or it could impair ability to take part in social activities [49, 50]. In individuals suffering from diabetes, peripheral neuropathy has been linked to depression, mediated by psychosocial consequences [51, 52]. Clearly peripheral neuropathy is a late effect that needs more attention and support in long-term survivors. An association between long-term peripheral neuropathy and development of neurocognitive function has not been shown before.

In rare cases, Vincristine-induced peripheral neuropathy is also associated with central and autonomic nervous system dysfunction, leading to more global neurological symptoms; e.g. headache, confusion, seizures, or visual disturbances, sometimes together with transient neuroimaging findings [5356]. Such comorbid neuropathy has also been associated with other conditions and treatment factors such as hypertension, treatment with immunosuppressants, or acute renal failure [53, 57]. Even if such central and autonomic neuropathy is rare a milder version may account for the association between peripheral neuropathy and cognitive impairment in this study, either as a side effect to treatment or following later renal or hepatic chronic conditions. Future studies should prospectively examine peripheral autonomic and central neuropathy and cognitive development in patients treated for Wilms tumor.

Few associations were found between outcomes and treatment variables. For the most part survivors received very similar treatment at a similar diagnostic age, and this lack of variability might be one reason for the lack of associations. We did not expect to see an association between higher doses of chemotherapy and abdominal radiation and better neurocognitive outcomes. This association remained significant even after sensitivity analysis. Higher chemotherapy combined with abdominal radiation was more common in survivors who were treated in the 1960’s and 1970’s compared to the 1980’s and 1990’s. The association might therefore represent a survival effect, i.e. improved supportive care on more recent protocols may have resulted in sicker children living to long-term survival compared to only relatively healthy children surviving on earlier protocols.

The results of this study should be interpreted in light of limitations. First, all survivors were treated during a long period of time and at a single institution and the results might have limited generalizability to survivors treated more recently and at other institutions. Still, this is the largest study directly assessing long-term survivors of WT and protocols employed are similar to those employed at other institutions. Also, those long-term survivors exist and need support. Prospective studies, including pre-therapy testing, might permit identification of trajectories of growth and development in survivors treated on different protocols. Second, the control group, including fewer minorities and slightly more well performing individuals, might not be comparable to a population-based sample, leading to an over-estimation of impairment found among survivors. The higher percentage of black survivors is in line with previous studies finding the prevalence of Wilms tumor to be slightly higher among black children (29% black children diagnosed with Wilms tumor vs 18.5% in other childhood cancers) [58], and all multivariate models were adjusted for race. Also, a stricter criterion for impairment (performance worse than both norms and controls) was applied. Both survivors and controls were slightly younger than a population-based sample, which might be a reason for elevated HRQOL and lower emotional distress.

Despite these limitations, our results demonstrate that long-term survivors of WT show neurocognitive impairment in verbal domains that impact social attainment and health-related quality of life. Survivors who have neurologic chronic conditions seems especially vulnerable and more prospective research is needed to study the effects of peripheral neuropathy on cognition and HRQOL. Neurocognitive and social outcomes need to be assessed earlier in survivorship and appropriate rehabilitation offered prior to adult outcomes. Since this study is one of the first of its kind, further prospective research is needed to confirm these results and characterize the developmental trajectory by identifying the onset and progression of the impairment over time.

Supplementary Material

Supplemental Tables

Implications for Cancer Survivors:

Survivors of WT should be offered neurocognitive evaluations and rehabilitation. Neurologic conditions should be routinely assessed, and appropriate support offered to reduce risk for functional limitations.

Acknowledgments

Funding: This study was supported by the National Cancer Institute (CA195547, M. Hudson and L. Robison Principal Investigators). Support to St. Jude Children’s Research Hospital was also provided by the Cancer Center Support (CORE) grant (CA21765, C. Roberts, Principal Investigator) and the American Lebanese Syrian Associated Charities (ALSAC). Neither were involved in the design, analysis or interpretation of results.

Footnotes

Compliance with ethical standards:

Conflict of interest: Dr Ingrid Tonning Olsson declares that she has no conflict of interest. Dr Tara M. Brinkman declares that she has no conflict of interest. Dr Geehong Hyun declares that he has no conflict of interest. Dr Pia Banerjee declares that she has no conflict of interest. Dr Daniel A. Mulrooney declares that he has no conflict of interest. Dr I-Chan Huang declares that he has no conflict of interest. Dr Daniel M. Green declares that he has no conflict of interest. Dr Deokumar Srivastava declares that he has no conflict of interest. Dr Leslie L. Robison declares that he has no conflict of interest. Dr Melissa Hudson declares that she has no conflict of interest. Dr Kevin R. Krull declares that he has no conflict of interest.

Ethical approval: All procedures performed in this study were in accordance with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. The study was reviewed and approved by the Institutional Review Board of St Jude Children’s Research Hospital, Memphis TN, USA. Written consent was obtained from all participants.

References

  • 1.Noone A, Howlader N, Krapcho M, Miller D, Brest A, Yu M et al. SEER Cancer Statistics Review, 1975–2015, based on November 2017 SEER data submission, posted to the SEER website, April 2018, https://seer.cancer.gov/csr/1975_2015/. Bethesda, MD2018
  • 2.Hudson MM, Ness KK, Gurney JG, Mulrooney DA, Chemaitilly W, Krull KR et al. Clinical ascertainment of health outcomes among adults treated for childhood cancer. Jama. 2013;309(22):2371–81. doi: 10.1001/jama.2013.6296. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Robison LL, Hudson MM. Survivors of childhood and adolescent cancer: life-long risks and responsibilities. Nat Rev Cancer. 2014;14(1):61–70. doi: 10.1038/nrc3634. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Smith MA, Seibel NL, Altekruse SF, Ries LA, Melbert DL, O’Leary M et al. Outcomes for children and adolescents with cancer: challenges for the twenty-first century. J Clin Oncol. 2010;28(15):2625–34. doi: 10.1200/jco.2009.27.0421. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Robinson KE, Kuttesch JF, Champion JE, Andreotti CF, Hipp DW, Bettis A et al. A quantitative meta-analysis of neurocognitive sequelae in survivors of pediatric brain tumors. Pediatr Blood Cancer. 2010;55(3):525–31. doi: 10.1002/pbc.22568. [DOI] [PubMed] [Google Scholar]
  • 6.Campbell LK, Scaduto M, Sharp W, Dufton L, Van Slyke D, Whitlock JA et al. A meta-analysis of the neurocognitive sequelae of treatment for childhood acute lymphocytic leukemia. Pediatr Blood Cancer. 2007;49(1):65–73. doi: 10.1002/pbc.20860. [DOI] [PubMed] [Google Scholar]
  • 7.Cheung YT, Krull KR. Neurocognitive outcomes in long-term survivors of childhood acute lymphoblastic leukemia treated on contemporary treatment protocols: A systematic review. Neurosci Biobehav Rev. 2015;53:108–20. doi: 10.1016/j.neubiorev.2015.03.016. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Edelmann MN, Daryani VM, Bishop MW, Liu W, Brinkman TM, Stewart CF et al. Neurocognitive and Patient-Reported Outcomes in Adult Survivors of Childhood Osteosarcoma. JAMA oncology. 2016;2(2):201–8. doi: 10.1001/jamaoncol.2015.4398. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Krull KR, Sabin ND, Reddick WE, Zhu L, Armstrong GT, Green DM et al. Neurocognitive function and CNS integrity in adult survivors of childhood hodgkin lymphoma. J Clin Oncol. 2012;30(29):3618–24. doi: 10.1200/jco.2012.42.6841. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Sleurs C, Deprez S, Emsell L, Lemiere J, Uyttebroeck A. Chemotherapy-induced neurotoxicity in pediatric solid non-CNS tumor patients: An update on current state of research and recommended future directions. Critical reviews in oncology/hematology. 2016;103:37–48. doi: 10.1016/j.critrevonc.2016.05.001. [DOI] [PubMed] [Google Scholar]
  • 11.Scott RH, Stiller CA, Walker L, Rahman N. Syndromes and constitutional chromosomal abnormalities associated with Wilms tumour. Journal of Medical Genetics. 2006;43(9):705–15. doi: 10.1136/jmg.2006.041723. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Green DM, Kun LE, Matthay KK, Meadows AT, Meyer WH, Meyers PA et al. Relevance of historical therapeutic approaches to the contemporary treatment of pediatric solid tumors. Pediatr Blood Cancer. 2013;60(7):1083–94. doi: 10.1002/pbc.24487. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Termuhlen AM, Tersak JM, Liu Q, Yasui Y, Stovall M, Weathers R et al. Twenty-five year follow-up of childhood Wilms tumor: a report from the Childhood Cancer Survivor Study. Pediatr Blood Cancer. 2011;57(7):1210–6. doi: 10.1002/pbc.23090. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Mostoufi-Moab S, Seidel K, Leisenring WM, Armstrong GT, Oeffinger KC, Stovall M et al. Endocrine Abnormalities in Aging Survivors of Childhood Cancer: A Report From the Childhood Cancer Survivor Study. J Clin Oncol. 2016;34(27):3240–7. doi: 10.1200/jco.2016.66.6545. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Buizer AI, de Sonneville LM, van den Heuvel-Eibrink MM, Veerman AJ. Chemotherapy and attentional dysfunction in survivors of childhood acute lymphoblastic leukemia: effect of treatment intensity. Pediatr Blood Cancer. 2005;45(3):281–90. doi: 10.1002/pbc.20397. [DOI] [PubMed] [Google Scholar]
  • 16.Halberg FE, Kramer JH, Moore IM, Wara WM, Matthay KK, Ablin AR. Prophylactic cranial irradiation dose effects on late cognitive function in children treated for acute lymphoblastic leukemia. Int J Radiat Oncol Biol Phys. 1992;22(1):13–6. doi: 10.1016/0360-3016(92)90976-O. [DOI] [PubMed] [Google Scholar]
  • 17.Waber DP, Urion DK, Tarbell NJ, Niemeyer C, Gelber R, Sallan SE. Late effects of central nervous system treatment of acute lymphoblastic leukemia in childhood are sex-dependent. Dev Med Child Neurol. 1990;32(3):238–48. doi: 10.1111/j.1469-8749.1990.tb16930.x. [DOI] [PubMed] [Google Scholar]
  • 18.Meadows A, Massari D, Fergusson J, Gordon J, Littman P, Moss K. Declines in IQ Scores and Cognitive Dysfunctions in Children with Acute Lymphocytic Leukaemia Treated with Cranial Irradiation. The Lancet. 1981;318(8254):1015–8. doi: 10.1016/S0140-6736(81)91216-2. [DOI] [PubMed] [Google Scholar]
  • 19.Mulhern RK, Kovnar E, Langston J, Carter M, Fairclough D, Leigh L et al. Long-term survivors of leukemia treated in infancy: factors associated with neuropsychologic status. J Clin Oncol. 1992;10(7):1095–102. doi: 10.1200/jco.1992.10.7.1095. [DOI] [PubMed] [Google Scholar]
  • 20.Mackie E, Hill J, Kondryn H, McNally R. Adult psychosocial outcomes in long-term survivors of acute lymphoblastic leukaemia and Wilms’ tumour: a controlled study. Lancet. 2000;355(9212):1310–4. doi: 10.1016/s0140-6736(00)02112-7. [DOI] [PubMed] [Google Scholar]
  • 21.Lahteenmaki PM, Sankila R, Pukkala E, Kyyronen P, Harila-Saari A. Scholastic achievement of children with lymphoma or Wilms tumor at the end of comprehensive education--a nationwide, register-based study. Int J Cancer. 2008;123(10):2401–5. doi: 10.1002/ijc.23753. [DOI] [PubMed] [Google Scholar]
  • 22.Buizer AI, de Sonneville LM, van den Heuvel-Eibrink MM, Veerman AJ. Behavioral and educational limitations after chemotherapy for childhood acute lymphoblastic leukemia or Wilms tumor. Cancer. 2006;106(9):2067–75. doi: 10.1002/cncr.21820. [DOI] [PubMed] [Google Scholar]
  • 23.Kadan-Lottick NS, Zeltzer LK, Liu Q, Yasui Y, Ellenberg L, Gioia G et al. Neurocognitive Functioning in Adult Survivors of Childhood Non-Central Nervous System Cancers. Journal of the National Cancer Institute. 2010;102(12):881–93. doi: 10.1093/jnci/djq156. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Barr RD, Chalmers D, De Pauw S, Furlong W, Weitzman S, Feeny D. Health-Related Quality of Life in Survivors of Wilms’ Tumor and Advanced Neuroblastoma: A Cross-Sectional Study. Journal of Clinical Oncology. 2000;18(18):3280–7. doi: 10.1200/jco.2000.18.18.3280. [DOI] [PubMed] [Google Scholar]
  • 25.Mohrmann C, Henry J, Hauff M, Hayashi RJ. Neurocognitive outcomes and school performance in solid tumor cancer survivors lacking therapy to the central nervous system. Journal of personalized medicine. 2015;5(2):83–90. doi: 10.3390/jpm5020083. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Nathan PC, Ness KK, Greenberg ML, Hudson M, Wolden S, Davidoff A et al. Health-related quality of life in adult survivors of childhood Wilms tumor or neuroblastoma: A report from the childhood cancer survivor study. Pediatr Blood Cancer. 2007;49(5):704–15. doi: 10.1002/pbc.20949. [DOI] [PubMed] [Google Scholar]
  • 27.Elias MF, Dore GA, Davey A. Kidney disease and cognitive function. Contributions to nephrology. 2013;179:42–57. doi: 10.1159/000346722. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Alagiakrishnan K, Mah D, Ahmed A, Ezekowitz J. Cognitive decline in heart failure. Heart failure reviews. 2016;21(6):661–73. doi: 10.1007/s10741-016-9568-1. [DOI] [PubMed] [Google Scholar]
  • 29.Moon JH. Endocrine Risk Factors for Cognitive Impairment. Endocrinology and metabolism (Seoul, Korea). 2016;31(2):185–92. doi: 10.3803/EnM.2016.31.2.185. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Hudson MM, Ness KK, Nolan VG, Armstrong GT, Green DM, Morris EB et al. Prospective medical assessment of adults surviving childhood cancer: study design, cohort characteristics, and feasibility of the St. Jude Lifetime Cohort study. Pediatr Blood Cancer. 2011;56(5):825–36. doi: 10.1002/pbc.22875. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Hudson MM, Ehrhardt MJ, Bhakta N, Baassiri M, Eissa H, Chemaitilly W et al. Approach for Classification and Severity Grading of Long-term and Late-Onset Health Events among Childhood Cancer Survivors in the St. Jude Lifetime Cohort. Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology. 2017;26(5):666–74. doi: 10.1158/1055-9965.Epi-16-0812. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Wechsler D Wechsler Abbreviated Scale of Intelligence, second edition San Antonio, TX: Pearson; 2011. [Google Scholar]
  • 33.Woodcock RW, McGrew KS, N. M. Woodcock Johson III Tests of Achievement NU. Rolling Meadows, IL: Riverside Publishing; 2001, 2007. [Google Scholar]
  • 34.Conners CK. Conners Continuous Performance Test II. North Tonawanda, NY: Multi-Health Systems Inc; 2001. [Google Scholar]
  • 35.Delis DC, Kramer JH, Kaplan E, Ober. California Verbal Learning Test - Second Edition. 2 ed. San Antonio, TX: 2000. [Google Scholar]
  • 36.Tombaugh TN. Trail Making Test A and B: Normative data stratified by age and education. Archives of Clinical Neuropsychology. 2004;19(2):203–14. doi: 10.1016/S0887-6177(03)00039-8. [DOI] [PubMed] [Google Scholar]
  • 37.Reynolds CR, Voress JK. Test of Memory and Learning: Second Edition (TOMAL-II). Austin, TX: Pro-Ed; 2007. [Google Scholar]
  • 38.Strauss E, Sherman EMS, Spreen OA. A Compendium of Neuropsychological Test: Administration, Norms and Commentary. 3 ed Oxford: Oxford University Press; 2006. [Google Scholar]
  • 39.Ware JE Jr., SF-36 health survey update. Spine. 2000;25(24):3130–9. [DOI] [PubMed] [Google Scholar]
  • 40.Derogatis L Brief Symptom Inventory (BSI): Administration, scoring, and procedures manual. Minneapolis, MN: NCS Pearson; 2000. [Google Scholar]
  • 41.Benjamini Y, Hochberg Y. Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing. Journal of the Royal Statistical Society Series B (Methodological). 1995;57(1):289–300. [Google Scholar]
  • 42.Bonner MJ, Hardy KK, Willard VW, Gururangan S. Additional Evidence of a Nonverbal Learning Disability in Survivors of Pediatric Brain Tumors. Children’s Health Care. 2009;38:49–63. doi: 10.1080/02739610802615849. [DOI] [Google Scholar]
  • 43.Reddick WE, Russell JM, Glass JO, Xiong X, Mulhern RK, Langston JW et al. Subtle white matter volume differences in children treated for medulloblastoma with conventional or reduced dose craniospinal irradiation. Magn Reson Imaging. 2000;18(7):787–93. [DOI] [PubMed] [Google Scholar]
  • 44.Askins MA, Moore BD 3rd., Preventing neurocognitive late effects in childhood cancer survivors. Journal of child neurology. 2008;23(10):1160–71. doi: 10.1177/0883073808321065. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Perantie DC, Lim A, Wu J, Weaver P, Warren SL, Sadler M et al. Effects of prior hypoglycemia and hyperglycemia on cognition in children with type 1 diabetes mellitus. Pediatric Diabetes. 2008;9(2):87–95. doi: 10.1111/j.1399-5448.2007.00274.x. [DOI] [PubMed] [Google Scholar]
  • 46.Gaudieri PA, Chen R, Greer TF, Holmes CS. Cognitive Function in Children With Type 1 Diabetes. Diabetes Care. 2008;31(9):1892–7. doi: 10.2337/dc07-2132. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Gilchrist LS, Tanner LR, Ness KK. Short-term recovery of chemotherapy-induced peripheral neuropathy after treatment for pediatric non-CNS cancer. Pediatr Blood Cancer. 2017;64(1):180–7. doi: 10.1002/pbc.26204. [DOI] [PubMed] [Google Scholar]
  • 48.Markman M Chemotherapy-associated neurotoxicity: an important side effect-impacting on quality, rather than quantity, of life. Journal of Cancer Research and Clinical Oncology. 1996;122(9):511–2. doi: 10.1007/BF01213547. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Mols F, Beijers T, Vreugdenhil G, van de Poll-Franse L. Chemotherapy-induced peripheral neuropathy and its association with quality of life: a systematic review. Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer. 2014;22(8):2261–9. doi: 10.1007/s00520-014-2255-7. [DOI] [PubMed] [Google Scholar]
  • 50.Bakitas MA. Background noise: the experience of chemotherapy-induced peripheral neuropathy. Nursing research. 2007;56(5):323–31. doi: 10.1097/01.Nnr.0000289503.22414.79. [DOI] [PubMed] [Google Scholar]
  • 51.Vileikyte L, Peyrot M, Gonzalez JS, Rubin RR, Garrow AP, Stickings D et al. Predictors of depressive symptoms in persons with diabetic peripheral neuropathy: a longitudinal study. Diabetologia. 2009;52(7):1265–73. doi: 10.1007/s00125-009-1363-2. [DOI] [PubMed] [Google Scholar]
  • 52.Vileikyte L, Leventhal H, Gonzalez JS, Peyrot M, Rubin RR, Ulbrecht JS et al. Diabetic peripheral neuropathy and depressive symptoms: the association revisited. Diabetes Care. 2005;28(10):2378–83. doi: 10.2337/diacare.28.10.2378. [DOI] [PubMed] [Google Scholar]
  • 53.Shin RK, Stern JW, Janss AJ, Hunter JV, Liu GT. Reversible posterior leukoencephalopathy during the treatment of acute lymphoblastic leukemia. Neurology. 2001;56(3):388–91. [DOI] [PubMed] [Google Scholar]
  • 54.Nazir HF, AlFutaisi A, Zacharia M, Elshinawy M, Mevada ST, Alrawas A et al. Vincristine-induced neuropathy in pediatric patients with acute lymphoblastic leukemia in Oman: Frequent autonomic and more severe cranial nerve involvement. Pediatr Blood Cancer. 2017;64(12). doi: 10.1002/pbc.26677. [DOI] [PubMed] [Google Scholar]
  • 55.Gupta A, Swaroop C, Rastogi R, Garg R, Bakhshi S. Simultaneous occurrence of posterior reversible leukoencephalopathy syndrome in two cases of childhood acute lymphoblastic leukemia induction chemotherapy. Pediatric Hematology and Oncology. 2008;25(4):351–8. doi: 10.1080/08880010802016052. [DOI] [PubMed] [Google Scholar]
  • 56.Stott VL, Hurrell MA, Anderson TJ. Reversible posterior leukoencephalopathy syndrome: a misnomer reviewed. Internal Medicine Journal. 2005;35(2):83–90. doi: 10.1111/j.1445-5994.2004.00750.x. [DOI] [PubMed] [Google Scholar]
  • 57.Cruz RJ Jr., ,DiMartini A, Akhavanheidari M, Iacovoni N, Boardman JF, Donaldson J et al. Posterior reversible encephalopathy syndrome in liver transplant patients: clinical presentation, risk factors and initial management. American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons. 2012;12(8):2228–36. doi: 10.1111/j.1600-6143.2012.04048.x. [DOI] [PubMed] [Google Scholar]
  • 58.Axt J, Murphy AJ, Seeley EH, Martin CA, Taylor C, Pierce J et al. Race Disparities in Wilms Tumor Incidence and Biology. The Journal of surgical research. 2011;170(1):112–9. doi: 10.1016/j.jss.2011.03.011. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplemental Tables

RESOURCES